Title
Local Repair Mechanisms for On-Demand Routing in Mobile Ad hoc Networks
Abstract
With the dynamic and mobile nature of ad hoc wireless networks, links may fail due to topological changes by mobile nodes. As the degree of mobility increases, the wireless network would suffer more link errors. Ad hoc routing protocols that use broadcast to discover routes may become inefficient due to frequent failures of intermediate connections in an end-to-end communication. When an intermediate link breaks, it is beneficial to discover a new route locally without resorting to an end-to-end route discovery. Based on the concept of localizing the route request query, we propose an efficient approach to repair error links quickly. The approach can apply to the Ad hoc On-demand Distance Vector (AODV) routing protocol. As an enhancement to AODV, the proposed approach leads to two routing protocols, called AODV-LRQ and AODV-LRT, which are aimed to efficiently repair the link errors. To evaluate the effects of the route repair, we define a factor, called bonus gain, as the ratio between the throughput increment to the routing overhead increment. Simulation results show that the proposed methods can get high bonus gain, that is, it can maintain the throughput as well as reduce the routing overheads.
Year
DOI
Venue
2005
10.1109/PRDC.2005.38
PRDC
Keywords
Field
DocType
end-to-end route discovery,efficient approach,mobile ad,on-demand routing,routing overhead increment,route repair,routing protocol,intermediate link break,link error,route request query,new route,local repair mechanisms,routing overhead,routing protocols,ad hoc wireless network,ad hoc networks,mobile computing,mobile ad hoc network,wireless network
Link-state routing protocol,Ad hoc On-Demand Distance Vector Routing,Dynamic Source Routing,Computer science,Computer network,Destination-Sequenced Distance Vector routing,Adaptive quality of service multi-hop routing,Wireless Routing Protocol,Ad hoc wireless distribution service,Optimized Link State Routing Protocol,Distributed computing
Conference
ISBN
Citations 
PageRank 
0-7695-2492-3
8
0.75
References 
Authors
6
3
Name
Order
Citations
PageRank
Michael Pan180.75
Sheng-Yan Chuang291.79
Sheng-De Wang372068.13